Learner Reviews & Feedback for Structuring Machine Learning Projects by DeepLearning.AI
About the Course
decision-making as a machine learning project leader. By the end, you will be able to diagnose errors in a machine learning system; prioritize
strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing
human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning. This is also a standalone course for
learners who have basic machine learning knowledge. This course draws on Andrew Ng’s experience building and shipping m...
Top reviews
JB
Jul 2, 2020
While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).
MG
Mar 31, 2020
It is very nice to have a very experienced deep learning practitioner showing you the "magic" of making DNN works. That is usually passed from Professor to graduate student, but is available here now.
1726 - 1750 of 5,740 Reviews for Structuring Machine Learning Projects
By PeiSheng S
•Sep 14, 2017
Some videos contain black screens, but the course is very good. Looking forward to the last two.
By krittin p
•Aug 26, 2017
This course is invaluable. very successful to share years of experiences. Thank you very much :)
By Manh T
•Aug 27, 2024
Although this course focuses mainly on theory, it's good guidance for an ML project. I love it!
By Indiwara N
•Oct 28, 2023
This is an excellent course to learn new tips and tricks on how to handle a ML project. Thanks!
By Nikos K
•May 15, 2021
Great course! It would be perfect to add some hands-on practice with transfer learning as well!
By Mansurbek A
•Feb 28, 2021
Very informative course. One can gain very important skill regarding management of ML projects.
By Parth M
•Jul 31, 2020
Very theoretical but important.
could have added some practical exercises on confusion matrix.
By José L R G
•Jun 25, 2020
Casos de estudio muy interesantes para ganar algo de perspectiva en proyectos de deep learning.
By Onuigwe V
•Jun 18, 2020
Best course! Even an expert in Machine learning and Deep learning need this problem iterations.
By Douglas C
•Dec 28, 2019
Very insightful, covers a lot of topics and gives a good intuition on how to start a ML project
By Noam P
•Oct 4, 2019
The course material is very useful, and will definitely help me with the project I'm working on
By Burak B
•Sep 19, 2019
Very useful course from Andrew NG if you think you will work in a quite big deep learning group
By Ronit N
•Sep 9, 2019
it was a very intuitive course and wonderful sets of case studies to make us think deep enough.
By Antonio P
•Jul 27, 2019
Excellent course! Very good complement of the Machine Learning Stanford Course. Very practical.
By raj m
•Mar 28, 2018
Very practical course content along with the very effective machine learning simulator problems
By Jerome B
•Dec 19, 2017
This one course is short, simple, filled with interesting knowledge. It gets better and better!
By Nitish V
•Nov 19, 2017
The course is good . Could also be taken separately even if one don't know about deep learning.
By Sunil P
•Aug 14, 2017
It was awesome , sharing real life experiences and putting it all together. Thank you Andrew!!!
By Thang X L
•Jul 23, 2023
This is an amazing course. I appreciate this course and the deep learning AI team that made it
By Kamil
•Mar 7, 2021
One of the best I've seen! Useful theory backed up by a great case study exercises! Thank you!
By Jes T B K
•Dec 20, 2020
A bit of a roundabout collection of topics, but this is the stuff that will make you do great.
By Sampatirao S S a
•Sep 13, 2020
Interesting course. Quiz was a bit challenging but with real life applications. Course was fun
By TEJASHREE R S
•Jul 4, 2020
I 'm excited about learning how to can compare with human-level error and find avoidable bias.
By Aaron C
•Jun 12, 2020
Very nice course to show the full variety of possible challenges while including stakeholders.
By Moustafa S
•Jun 11, 2020
that was a really really helpful course, to understand basics of how to think as a researcher.